MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4083
Single Precision Score
30079
Half Precision Score
33287
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | StevenZZH |
| Upload Date | January 09 2025 06:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1553
288.8 IPS |
|
|
Image Classification (HP)
|
100% |
16334
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
19000
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21544
349.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27033
438.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8759
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
121805
142.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
119072
139.6 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
17489
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20002
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
38004
451.6 IPS |
|
|
Face Detection (Q)
|
100% |
44676
530.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96784
745.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
120308
940.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21572
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
225332
289.7 IPS |
|
|
Style Transfer (Q)
|
96% |
210380
271.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5189
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44966
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54640
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4746
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4657
80.5 IPS |
